Results 111 to 120 of about 1,141,752 (328)

Perspective: Limiting Antimicrobial Resistance with Artificial Intelligence/Machine Learning

, 2023
Daniel Amsterdam
openalex   +1 more source

Automatic Detection and Classification of Dental Restorations in Panoramic Radiographs with Artificial Intelligence Method Developed Using Deep Learning Method: Methodological Studies [PDF]

, 2022
Esra Asci, Münevver KILIÇ, Özer Çelik, İbrahim Şevki Bayrakdar, Elif Bilgir, Ahmet Faruk ASLAN, Alper ODABAŞ, Kaan Orhan   +7 more
openalex   +1 more source

Smart Catheters for Diagnosis, Monitoring, and Therapy

Advanced Healthcare Materials, EarlyView.
This study presents a comprehensive review of smart catheters, an emerging class of medical devices that integrate embedded sensors, robotics, and communication systems, offering increased functionality and complexity to enable real‐time health monitoring, diagnostics, and treatment. Abstract This review explores smart catheters as an emerging class of
Azra Yaprak Tarman, Samiha Ahmed, Majed Othman Althumayri, Megan Guy, Darlenne Chavez Lugo, Frances S. Ligler, George T. Ligler, Rahmi Oklu, Hiroshi Kawahira, Michael J. McShane, Jun Kameoka, Jonathan Bova, Hatice Ceylan Koydemir   +12 more
wiley   +1 more source

The reliability of remote photoplethysmography under low illumination and elevated heart rates

npj Digital Medicine
Remote photoplethysmography (rPPG) offers a non-invasive means of estimating heart rate in telemedicine settings. Yet its reliability remains uncertain due to the limited diversity and ecological validity of existing benchmark datasets.
Bhargav Acharya, William Saakyan, Barbara Hammer, Hanna Drimalla   +3 more
doaj   +1 more source

İkinci Dil Olarak Türkçe Deyim Öğretiminde Yapay Zekânın Kullanımı ve Öğrenmeye Etkisi The Use of Artificial Intelligence in Teaching Turkish as a Second Language and Its Effect on Learning

, 2023
M. Cemali Dinçer
openalex   +1 more source

Redefining Therapies for Drug‐Resistant Tuberculosis: Synergistic Effects of Antimicrobial Peptides, Nanotechnology, and Computational Design

Advanced Healthcare Materials, EarlyView.
Antimicrobial peptide (AMP)‐loaded nanocarriers provide a multifunctional strategy to combat drug‐resistant Mycobacterium tuberculosis. By enhancing intracellular delivery, bypassing efflux pumps, and disrupting bacterial membranes, this platform restores phagolysosome fusion and macrophage function.
Christian S. Carnero Canales, Jessica Ingrid Marquez Cazorla, Renzo Marianito Marquez Cazorla, Aline Martins dos Santos, Jonatas Lobato Duarte, Letícia Oliveira Catarin Nunes, Túlio Custódio Reis, Lara Cerazi Salvador, Norival Alves Santos‐Filho, Rafael Miguel Sábio, Hélder A. Santos, Fernando Rogério Pavan   +11 more
wiley   +1 more source

Dual‐Peptide Nanoplatform: Mesoporous Silica Nanoparticles Functionalized With a Cell‐Penetrating Peptide and Loaded With Rationally Designed Antimicrobial Peptides for Tuberculosis Therapy

Advanced Healthcare Materials, EarlyView.
Machine learning–guided engineering of a plectasin‐derived peptide yields DC05, a potent antimycobacterial candidate. Encapsulation into tuftsin‐functionalized mesoporous silica nanoparticles enhances intracellular delivery, stability, and activity against Mycobacterium tuberculosis while maintaining low cytotoxicity and minimal hemolysis. The combined
Christian S. Carnero Canales, Cesar Augusto Roque‐Borda, Ana Carolina Cerqueira Negri, Oswaldo Ramirez Delgado, Letícia Oliveira Catarin Nunes, Flávia Aparecida Resende, Hernane Barud, Norival Alves Santos‐Filho, Saulo Santesso Garrido, Karen Cristina Oliveira, Alexandra Ivo de Medeiros, Rafael Miguel Sábio, Fernando Rogério Pavan   +12 more
wiley   +1 more source

Towards a computer-assisted assessment of imitation in children with autism spectrum disorder based on a fine-grained analysis

Humanities & Social Sciences Communications
Imitation is considered a fundamental skill for learning in children with autism spectrum disorder (ASD). However, existing assessment methods usually provide a qualitative description of whether children imitate while ignoring individual variability in ...
Rujing Zhang, Jingying Chen, Xiaodi Liu, Yanling Gan, Guangshuai Wang   +4 more
doaj   +1 more source

PriBeL-Net: Extending betel leaf dataset with CNN-based image classification

MethodsX
Deep learning is core to precision agriculture. In this research, the authors compare four deep-learning frameworks: MobileNetV2, EfficientNetB0, ResNet50V2, and DenseNet121, on a custom dataset under controlled and on-field environments.Whereas ...
Gauri Mane, Raghav Bhise, Rutuja Kadam, Gagandeep Kaur, Gitanjali Shinde, Grishma Bobhate, Sonal Fatangare   +6 more
doaj   +1 more source

Optoelectrical Devices for Neural Interfacing: Engineering Integration, Stability, and Multimodal Sensing

Advanced Healthcare Materials, EarlyView.
Implantable optoelectrical devices are an effective resource for the modulation and monitoring of neural activity with high spatiotemporal resolution. This review discusses current challenges faced by these devices and outlines future perspectives for the development of next‐generation neural interfaces targeting chronic, multisite, and multimodal ...
Stella Aslanoglou, Barbara Spagnolo, Antonio Balena, Massimo De Vittorio, Ferruccio Pisanello   +4 more
wiley   +1 more source